Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
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Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
- speech-recognition
- asr
- voice-recognition
- speech-to-text
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
BYOK voice recording companion with ASR transcription, speaker diarization, AI summaries, and local ASR endpoint support.
Translated[iFlytek Simultaneous Interpretation] free alternative — local system audio real-time translation and transcription for international conferences, foreign-language podcasts, game voice chat, and raw (unsubtitled) films and shows, with on-screen floating window, live subtitles, and offline recognition. Offline real‑time Language transcription, floating live subtitles.
- audio-transcription
- audio2text
- cross-platform
- offline-first
Speech, voices, stories, audiobooks, dubbing and transcription, made on your Mac. Free and open source.
- speaker-diarization
- speech-synthesis
- speech-to-text
- text-to-speech
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
- asr
- conformer
- coreml
- ios